Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Sakai, Tomoya
722  Ergebnisse:
Online X
englisch X
Personensuche X
?
1

Background removal for debiasing computer-aided cytological..:

Takeda, Keita ; Sakai, Tomoya ; Mitate, Eiji
International Journal of Computer Assisted Radiology and Surgery.  , 2024
Link: https://doi.org/10.1007/..
 
?
2

Correction to: Background removal for debiasing computer-ai..:

Takeda, Keita ; Sakai, Tomoya ; Mitate, Eiji
International Journal of Computer Assisted Radiology and Surgery.  , 2024
Link: https://doi.org/10.1007/..
 
?
3

Unsupervised deep learning of foreground objects from low-r..:

Takeda, Keita ; Sakai, Tomoya
Computer Vision and Image Understanding.  240 (2024)  - p. 103939 , 2024
Link: https://doi.org/10.1016/..
 
?
4

An effective salivation-facilitating method for COVID-19 te..:

Higashijima, Misako ; Shiozu, Hiroyasu ; Sakai, Tomoya.
Medicine.  102 (2023)  27 - p. e34370 , 2023
Link: https://doi.org/10.1097/..
 
?
5

Background Subtraction Approach to Unsupervised Cell Segmen..:

, In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),
Takeda, Keita ; Mitate, Eiji ; Sakai, Tomoya - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
?
6

A Generalized Backward Compatibility Metric:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Sakai, Tomoya - p. 1525-1535 , 2022
Link: https://dl.acm.org/doi/1..
 
?
7

Application of the sliding window method and Mask-RCNN meth..:

Mitate, Eiji ; Inoue, Kirin ; Sato, Retsushi...
Diagnostic Pathology.  17 (2022)  1 - p. , 2022
Link: https://doi.org/10.1186/..
 
?
8

Unsupervised Deep Learning for Online Foreground Segmentati..:

, In: 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA),
Takeda, Keita ; Fujiwara, Kohei ; Sakai, Tomoya - p. 1-7 , 2022
Link: https://doi.org/10.1109/..
 
?
9

The acoustic characteristics of fine crackles predict honey..:

Fukumitsu, Toshikazu ; Obase, Yasushi ; Ishimatsu, Yuji...
BMC Pulmonary Medicine.  19 (2019)  1 - p. , 2019
Link: https://doi.org/10.1186/..
 
?
10

Convex formulation of multiple instance learning from posit..:

Bao, Han ; Sakai, Tomoya ; Sato, Issei.
Neural Networks.  105 (2018)  - p. 132-141 , 2018
Link: https://doi.org/10.1016/..
 
?
11

Correction to: Semi-supervised AUC optimization based on po..:

Sakai, Tomoya ; Niu, Gang ; Sugiyama, Masashi
Machine Learning.  107 (2018)  4 - p. 795-795 , 2018
Link: https://doi.org/10.1007/..
 
?
12

Semi-supervised AUC optimization based on positive-unlabele..:

Sakai, Tomoya ; Niu, Gang ; Sugiyama, Masashi
Machine Learning.  107 (2017)  4 - p. 767-794 , 2017
Link: https://doi.org/10.1007/..
 
?
13

Dimension Reduction and Construction of Feature Space for I..:

Itoh, Hayato ; Imiya, Atsushi ; Sakai, Tomoya
Journal of Mathematical Imaging and Vision.  56 (2016)  1 - p. 1-31 , 2016
Link: https://doi.org/10.1007/..
 
?
14

Pattern recognition in multilinear space and its applicatio..:

Itoh, Hayato ; Imiya, Atsushi ; Sakai, Tomoya
Machine Vision and Applications.  27 (2016)  8 - p. 1259-1273 , 2016
Link: https://doi.org/10.1007/..
 
?
15

Registration of infrared transmission images using squared-..:

Sakai, Tomoya ; Sugiyama, Masashi ; Kitagawa, Katsuichi.
Precision Engineering.  39 (2015)  - p. 187-193 , 2015
Link: https://doi.org/10.1016/..
 
1-15